1 to 25 of 49 Machine Learning Jobs in the East Midlands

making that happen. That’s why we’re looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you’re excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you. This … Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you. You’ll also need to be a great communicator able to explain complex ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

roadmap for a large-scale internal ads platform. Design, test and deploy advanced predictive and ranking models such as Two-Tower architectures, RNNs and learning-to-rank approaches. Lead … architecture, model selection and production design decisions. Improve feedback loops to increase responsiveness to real-world events and outcomes. Set best practices for production ML, testing, monitoring and deployment. Act as the technical authority for data science across the ads domain. Work closely with engineering, product and commercial teams. Present ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

Finance Support: Ongoing analytics across AP, Cash Accounting, Commercial Services, and Operations. Analytical Automation: Using Python/SQL to streamline recurring finance analysis. Future ML/AI: The team will explore machine learning applications in finance analytics. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions, data profiling … financial data. Data warehousing knowledge. What You'll Get Salary up to £47,000 . Exposure to modern data tech ( Databricks, Medallion Architecture ). ML/AI exposure as the team evolves. Hybrid working (4 days onsite after initial training). Career development in a major UK retailer. Interview Process ...

workload). BAU Finance Support: Ongoing analytics across AP, Cash, Commercial Services, Operations. Analytical Automation: Using Python/SQL to streamline recurring analysis. Future ML/AI: The team will explore machine learning applications. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions). Python for data analysis … team or financial data experience. Data warehousing knowledge. What You'll Get Salary up to £47,000. Modern data tech (Databricks, Medallion Architecture). ML/AI exposure as team evolves. Hybrid working (4 days onsite after training). Career development in major UK retailer. Interview Process Stage 1: Informal ...

version control, testing, code review, and CI/CD processes. Mentor and guide existing developers, providing technical leadership and promoting a culture of continuous learning and improvement. Develop and maintain scalable cloud-based solutions using AWS services such as Lambda, S3, Redshift, Glue . Create and manage API integrations … backend logic, particularly in support of analytics and integration tasks. Continuously review and optimise existing codebases for performance, scalability, and maintainability. Work alongside CRM, Machine Learning, and Data teams to integrate predictive models and analytical insights into operational workflows. Provide technical oversight and support for complex issues, ensuring ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that directly support global retailers and deliver ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...